Prepared tackled the slow GovTech market by providing its initial product for free. This strategy bypassed cumbersome procurement, built a large user base, and established the credibility needed to overcome the authority of entrenched, larger competitors.

For five years, Mailtrap was a free tool that grew slowly and organically through word-of-mouth in the developer community. This patient, community-led approach established deep-rooted trust and brand loyalty before monetization was ever considered. This foundation became a durable competitive advantage that well-funded competitors could not easily replicate.

Prepared realized it couldn't win against GovTech incumbents on their terms of sales relationships and lobbying. Their strategy was to fundamentally shift the competition. By offering a free, easy-to-use product, they forced the purchasing decision to be about technology quality, an arena where they could excel.

Rather than waiting for a competitor to replicate your product with AI, proactively use AI tools to see how easily your own features can be commoditized. This internal "red team" exercise helps identify true moats versus superficial ones, forcing a focus on defensibility from day one.

To avoid being crushed by AI platform advancements, startups shouldn't compete directly with core models ('under the rock'). Instead, they should find a specific, underserved problem on the outer edge of what's newly possible, where deep user familiarity provides a defensible moat.

ElevenLabs' CEO sees their cutting-edge research as a temporary advantage—a 6-12 month head start. The real, long-term defensibility comes from using that time to build a superior product layer and a robust ecosystem of integrations, workflows, and brand. This strategy accepts model commoditization and focuses on building durable value on top of the technology.

Applied AI startups must solve immediate customer problems by building proprietary technology, even if they know it will be commoditized by foundation models in a few years. The strategy is to win customers now with superior tech, building a product and market position that will endure after the technology becomes table stakes.

Amplitude's CEO explains how incumbents counter "feature-not-company" AI startups. They rapidly build the startup's core functionality, give it away for free, and leverage it as a powerful lead generation tool for their existing business, commoditizing the startup's value proposition overnight.

Instead of monetizing its new AI features directly, fintech Mercury is offering its "Intelligence" layer—which helps customers analyze their finances—for free. This strategy uses powerful AI tools as a differentiator and a moat to attract new users and increase the stickiness of its core banking products.